| g01cec
|
Deviate of Normal distribution function
|
| g01dac
|
Normal scores, accurate values
|
| g01dcc
|
Normal scores, approximate variance-covariance matrix
|
| g01dhc
|
Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores
|
| g01eac
|
Probabilities for the standard Normal distribution |
| g01fac
|
Deviates for the Normal distribution |
| g01hac
|
Probability for the bivariate Normal distribution |
| g01hbc
|
Computes probabilities for the multivariate Normal distribution |
| g01nac
|
Cumulants and moments of quadratic forms in Normal variables
|
| g01nbc
|
Moments of ratios of quadratic forms in Normal variables, and related statistics |
| g02gac
|
Fits a generalized linear model with Normal errors |
| g05ddc
|
Pseudo-random real numbers, Normal distribution |
| g05eac
|
Set up reference vector for multivariate Normal distribution |
| g05ezc
|
Pseudo-random multivariate Normal vector from reference vector |
| g05lac
|
Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly
|
| g05lzc
|
Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly
|
| g07bbc
|
Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
|
| g07cac
|
Computes t-test statistic for a difference in means between two Normal populations, confidence interval
|
| s15abc
|
Cumulative Normal distribution function P(x) |
| s15acc
|
Complement of cumulative Normal distribution function Q(x) |